Abstract
In this paper, we develop an efficient statistical simulation technique based on stochastic collocation for silicon photonics process variations with non-Gaussian correlated random parameters. Our algorithm has achieved 57-times speedup compared with standard Monte-Carlo simulation.
© 2014 Optical Society of America
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